基于粗糙集的机车牵引变流器故障诊断方法  

Fault diagnosis of locomotive converter based on Rough Set

作　　者：岳生吉[1] 王焕民[1] 牛彩云[2] 

机构地区：[1]兰州交通大学机电技术研究所,兰州730070 [2]兰州大学第一医院信息中心,兰州730000

出　　处：《铁路计算机应用》2012年第3期62-65,共4页Railway Computer Application

摘　　要：利用粗糙集对故障特征数据库中的数据进行处理和约简,过滤冗余属性,提取出有效的故障模式规则。依据这些规则,对新加入数据进行判别并归类,识别出故障的类型,依此找到故障的原因并排除故障,从而使机车实现"状态修"成为可能。从实验结果可知,基于粗糙集的故障诊断方法非常有效,可以很大程度减少数据处理的工作量。The prepared data and information in database was processed, simplified so that the redundant attributes were filtered and the available fault pattern rules were extracted. According to these rules, the input fault data could be discriminated and classified in order to identify fault types, find and remove the corresponding faults. This made locomotive repairing on condition possible. The experiment results showed that the fault diagnosis based on the rough set was very effective, greatly reduced data processing workload.

关 键 词：粗糙集 属性约简 机车 故障诊断 

分 类 号：U269.332[机械工程—车辆工程] TP39[交通运输工程—载运工具运用工程]